A simulated annealing technique for multi-objective simulation optimization

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A simulated annealing technique for multi-objective simulation optimization

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dc.contributor.author Alrefaei, Mahmoud H.
dc.contributor.author Diabat, Ali H.
dc.date.accessioned 2009-12-31T05:32:08Z
dc.date.available 2009-12-31T05:32:08Z
dc.date.issued 2009-10-02
dc.identifier.citation Volume 215, Issue 8, 15 December 2009, Pages 3029-3035 en_US
dc.identifier.uri http://dx.doi.org/10.1016/j.amc.2009.09.051
dc.identifier.uri http://hdl.handle.net/10576/10586
dc.description.abstract In this paper, we present a simulated annealing algorithm for solving multi-objective simulation optimization problems. The algorithm is based on the idea of simulated annealing with constant temperature, and uses a rule for accepting a candidate solution that depends on the individual estimated objective function values. The algorithm is shown to converge almost surely to an optimal solution. It is applied to a multi-objective inventory problem; the numerical results show that the algorithm converges rapidly. en_US
dc.language.iso en en_US
dc.subject Simulated annealing en_US
dc.subject Simulation optimization en_US
dc.subject Multi-objective simulation optimization en_US
dc.title A simulated annealing technique for multi-objective simulation optimization en_US
dc.type Article en_US

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